MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
ICT Impact and Policies
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,506 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,506 works in the cohort · of 4,299,418page 9 of 31

Labels cover 5 of 1,506 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,506 of 1,506 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Wal‐Mart Stores, Inc.
2007· article· en· Mergent s Dividend Achievers· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
affunlabeled
Mobile Electronic Commerce
Samuel Pierre
2006· book-chapter· en· IGI Global eBooks· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affvenueunlabeled
Text-based Conferencing: Features vs. functionality
Lynn Anderson, Kathy McCarthy
2006· article· en· The International Review of Research in Open and Distributed Learning· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
How Data Gaps (re)Make Rural Broadband Gaps
Helen Hambly, Reza Rajabiun
2019· article· en· SSRN Electronic Journal· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Think Global, Act Local
Sylvie Albert, Don Flournoy
2010· article· en· International Journal of Sociotechnology and Knowledge Development· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
3
citations
aboutno affunlabeled
Toward Universal Broadband in Rural Alaska
Heather E. Hudson, Virgene Hanna, Alexandra Hill, Khristy Parker, Suzanne Sharp, Kent Spiers +1 more
2012· article· en· ScholarWorks - UA (University of Alaska System)· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A Note to Non-adaptive Broadcasting
Saber Gholami, Hovhannes A. Harutyunyan
2024· article· en· Parallel Processing Letters· Engineering
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About